Diagnostic verification and routing of children with bronchial asthma using the current information system capabilities

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Abstract

Asthma is a heterogeneous, chronic, and recurrent inflammatory lung disease that also affects children. In recent decades, the incidence of bronchial asthma has been steadily increasing. In 2021, asthma affected 0.89% and 1.87% of Russian children aged 0–14 and 15–17 years, respectively; however, the prevalence of asthma according to official statistics is lower than the real data. Therefore, a significant proportion of patients do not receive proper treatment, which ultimately affects the quality of life of these patients and their parents. Early and accurate diagnosis of bronchial asthma and identification of children with an uncontrolled disease course will provide an opportunity to select/change therapy to achieve remission, thereby preventing possible negative consequences of the disease. In Moscow, according to Order No. 947n of the Ministry of Health of Russia, to improve the quality of medical services, including outpatient care, the Unified Medical Information and Analytical System (UMIAS) has been implemented, which has improved the availability and quality of medical services of public healthcare institutions in the city. This study proposes simple algorithms, and their integration into the UMIAS system will facilitate diagnosis verification for pediatricians and provide allergologists with tools for timely and structured routing of patients with uncontrolled bronchial asthma.

About the authors

Anita R. Denisova

The First Sechenov Moscow State Medical University (Sechenov University); Children's Municipal Polyclinic No 32

Email: anita_d@mail.ru
ORCID iD: 0000-0003-0917-6048
SPIN-code: 2924-7732

MD, Cand. Sci. (Med.)

Russian Federation, Moscow; Moscow

Natalia A. Geppe

The First Sechenov Moscow State Medical University (Sechenov University)

Email: geppe@mail.ru
ORCID iD: 0000-0003-0547-3686
SPIN-code: 9916-0204

MD, Dr. Sci. (Med.), Professor

Russian Federation, Moscow

Aleksandr B. Malahov

The First Sechenov Moscow State Medical University (Sechenov University); Research Clinical Institute of Childhood of the Moscow Region

Email: alexis4591m@mail.ru
ORCID iD: 0000-0002-2686-8284
SPIN-code: 1749-0503

MD, Dr. Sci. (Med.), Professor

Russian Federation, Moscow; Moscow

Veronika D. Denisova

The First Sechenov Moscow State Medical University (Sechenov University); Research Clinical Institute of Childhood of the Moscow Region

Email: veronikad_91@list.ru
ORCID iD: 0000-0002-4033-6380
SPIN-code: 3238-1229

MD, Cand. Sci. (Med.)

Russian Federation, Moscow; Moscow

Nikoloz M. Gaboshvili

Children's Municipal Polyclinic No 32

Author for correspondence.
Email: nickgab@yandex.ru
ORCID iD: 0000-0002-2222-6380
Russian Federation, Moscow

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Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Prevalence of current wheeze and ever-diagnosed asthma for 2019 (Adapted from [2]).

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3. Fig. 2. Example with diagnosis J20.9 (additional section on example of provisional [final] diagnosis J20.9).

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4. Fig. 3. Pediatric appointment packets in the UMIAS system.

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5. Fig. 4. Routing from an allergist to an allergist (district or third level) with uncontrolled course of moderate and severe asthma.

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